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HKU NLP Group

A research group at the University of Hong Kong advancing natural language processing through novel algorithms, semantic parsing, dialog systems, and machine translation.

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What is HKU NLP Group?

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The HKU NLP Group, based in the Department of Computer Science at the University of Hong Kong, conducts cutting-edge research in natural language processing. Their work spans pretraining algorithms, new neural architectures, semantic parsing, human-computer interaction, dialog systems, long text generation, and both simultaneous and multimodal machine translation. The group is known for developing advanced language models and innovative approaches for complex reasoning and planning tasks.


Key Features

  • Advanced Pretraining Algorithms

    Develops novel objectives and neural network architectures to improve model performance and efficiency.

  • Semantic Parsing & Natural Language Interfaces

    Focuses on building systems that translate natural language into structured representations for various applications.

  • Dialog Systems & Long Text Generation

    Researches and builds robust dialog agents and models capable of generating coherent long-form text.

  • Simultaneous & Multimodal Machine Translation

    Explores real-time and cross-modal translation methods to enhance multilingual and multimedia communication.

  • Open-Source Language Models

    Releases state-of-the-art models such as Dream 7B and INSTRUCTOR for public use and further research.


Use Cases

  • Text Embedding for Custom Tasks : Generate domain- and task-specific text embeddings for classification, retrieval, clustering, and evaluation.
  • Information Retrieval & Clustering : Leverage advanced embeddings to improve search, grouping, and analysis of large text corpora.
  • Dialog System Development : Build conversational agents for customer support, virtual assistants, and interactive applications.
  • Machine Translation : Implement efficient translation systems for both real-time and multimodal scenarios.
  • Complex Reasoning & Planning : Utilize diffusion-based language models for tasks requiring step-by-step reasoning, such as problem solving and planning.

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